Dr. Jarek P. Sacha Profile

Dr. Jarek P. Sacha

at Procter & Gamble Co

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Publications (8)

Proceedings Article | 2 May 2003 Paper

Quantification of regional fat volume in rat MRI

Darren Trokhan, Michael Cockman, Thomas Dufresne, Jaroslaw Sacha

Proceedings Volume 5031, (2003) https://doi.org/10.1117/12.480405

KEYWORDS: Image segmentation, Magnetic resonance imaging, Tissues, Image analysis, Abdomen, Java, Detection and tracking algorithms, Dual energy x-ray absorptiometry, Image processing algorithms and systems, Therapeutics

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Multiple initiatives in the pharmaceutical and beauty care industries are directed at identifying therapies for weight management. Body composition measurements are critical for such initiatives. Imaging technologies that can be used to measure body composition noninvasively include DXA (dual energy x-ray absorptiometry) and MRI (magnetic resonance imaging). Unlike other approaches, MRI provides the ability to perform localized measurements of fat distribution. Several factors complicate the automatic delineation of fat regions and quantification of fat volumes. These include motion artifacts, field non-uniformity, brightness and contrast variations, chemical shift misregistration, and ambiguity in delineating anatomical structures. We have developed an approach to deal practically with those challenges. The approach is implemented in a package, the Fat Volume Tool, for automatic detection of fat tissue in MR images of the rat abdomen, including automatic discrimination between abdominal and subcutaneous regions. We suppress motion artifacts using masking based on detection of implicit landmarks in the images. Adaptive object extraction is used to compensate for intensity variations. This approach enables us to perform fat tissue detection and quantification in a fully automated manner. The package can also operate in manual mode, which can be used for verification of the automatic analysis or for performing supervised segmentation. In supervised segmentation, the operator has the ability to interact with the automatic segmentation procedures to touch-up or completely overwrite intermediate segmentation steps. The operator's interventions steer the automatic segmentation steps that follow. This improves the efficiency and quality of the final segmentation. Semi-automatic segmentation tools (interactive region growing, live-wire, etc.) improve both the accuracy and throughput of the operator when working in manual mode. The quality of automatic segmentation has been evaluated by comparing the results of fully automated analysis to manual analysis of the same images. The comparison shows a high degree of correlation that validates the quality of the automatic segmentation approach.

Proceedings Article | 27 August 1999 Paper

Stemware inspection system

Behrouz Shabestari, Murat Sena, Spencer Luster, Jaroslaw Sacha, John Miller

Proceedings Volume 3836, (1999) https://doi.org/10.1117/12.360274

KEYWORDS: Inspection, Cameras, Glasses, Defect detection, Light sources, Light sources and illumination, Frame grabbers, Contamination, Light, Mirrors

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Proceedings Article | 27 August 1999 Paper

Challenges of low-angle metal surface (crosshead) inspection

Jaroslaw Sacha, Behrouz Shabestari, Spencer Luster, John Miller, P. Hamel

Proceedings Volume 3836, (1999) https://doi.org/10.1117/12.360268

KEYWORDS: Inspection, Cameras, Image analysis, Image processing, Metals, Light sources, Calibration, Image acquisition, Databases, Machine vision

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Proceedings Article | 26 March 1998 Paper

Online industrial thermography of die casting tooling using dual-wavelength IR imaging

Jaroslaw Sacha, Spencer Luster, Helen Kourous, Behrouz Shabestari

Proceedings Volume 3361, (1998) https://doi.org/10.1117/12.304731

KEYWORDS: Thermography, Sensors, Infrared imaging, Cameras, Imaging systems, Data acquisition, Data modeling, Optical filters, Calibration, Image processing

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Proceedings Article | 18 September 1997 Paper

Challenges of adapting a dual-wavelength infrared imaging system as an industrial inspection tool

Behrouz Shabestari, Spencer Luster, Stephen Graff, Helen Kourous, Jaroslaw Sacha

Proceedings Volume 3205, (1997) https://doi.org/10.1117/12.285588

KEYWORDS: Thermography, Inspection, Infrared imaging, Imaging systems, Infrared radiation, Infrared technology, Data acquisition, Data centers, Manufacturing, Process control

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Proceedings Article | 18 September 1997 Paper

Design of a flexible image processing library in C++

Behrouz Shabestari, Timothy Kohler, Jaroslaw Sacha

Proceedings Volume 3205, (1997) https://doi.org/10.1117/12.285562

KEYWORDS: Image processing, C++, Image registration, Binary data, Object oriented programming

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Proceedings Article | 14 November 1996 Paper

Structured region growing and recognition algorithm for nondestructive evaluation

Krzysztof Cios, Behrouz Shabestari, Jaroslaw Sacha

Proceedings Volume 2847, (1996) https://doi.org/10.1117/12.258275

KEYWORDS: Detection and tracking algorithms, Image processing, Nondestructive evaluation, Ultrasonics, Image segmentation, X-ray imaging, X-rays, Ceramics, Image processing algorithms and systems, Image analysis

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Proceedings Article | 31 October 1996 Paper

System for characterizing small fibers

Behrouz Shabestari, Timothy Kohler, John Miller, Jaroslaw Sacha

Proceedings Volume 2908, (1996) https://doi.org/10.1117/12.257250

KEYWORDS: Optical fibers, Cameras, Image processing, Light sources, Imaging systems, 3D image processing, Frame grabbers, Image analysis, Signal processing, Printing

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Showing 5 of 8 publications

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